Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

the Million Veteran Program

doi:10.1038/s41588-018-0205-x

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

the Million Veteran Program

Imperial College London
University of Ioannina
Queen Mary University of London
Vanderbilt University
Emory University
Department of Veterans Affairs
Harvard University
Stanford University
University of Tennessee Health Science Center
University of Tartu
Broad Institute
Lund University
University of Edinburgh
University Hospital of Bordeaux
Université de Bordeaux
National Institutes of Health
Brigham and Women’s Hospital
University of Newcastle
University of Michigan, Ann Arbor
Leiden University
University of Cambridge
King's College London
NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust
Wellcome Trust Sanger Institute
University of Dundee
COMSATS University Islamabad
McMaster University
Université Laval
Massachusetts General Hospital
University of Groningen
Université de Lille
VU University Medical Center
University of Oxford
University College Dublin
Royal College of Surgeons in Ireland
Center for Statistical Genetics
Erasmus University Rotterdam
Johns Hopkins University
Newcastle University
Sema4
San Raffaele Scientific Institute
University of Leicester
University of Washington
University of Lausanne
University of Texas Health Science Center at Houston
Icahn School of Medicine at Mount Sinai
University Hospitals of Leicester NHS Trust
University of Trieste
Nanyang Technological University
London North West University Healthcare NHS Trust
Imperial College Healthcare NHS Trust
Indian Institute of Science Bangalore
National Research Council of Italy
IRCCS Istituto Neurologico Mediterraneo Neuromed - Pozzilli (IS)
IRCCS Ospedale Infantile Burlo Garofolo - Trieste
University of Lübeck
University of Greifswald
German Centre for Cardiovascular Research
University of Geneva
Municipal Institute for Medical Research Hospital del Mar
The University of Vic - Central University of Catalonia
Uppsala University
Karolinska Institutet
Stockholm University
Helmholtz Zentrum München - German Research Center for Environmental Health
German Center for Diabetes Research
Heriot-Watt University
University of Iceland
Icelandic Heart Association
University of California at Los Angeles
National Institute for Health and Welfare
University of Helsinki
Medical University of Graz
National Heart Lung and Blood Institute’s and Boston University’s Framingham Heart Study
Sir Charles Gairdner Hospital
University of Western Australia
University of Oulu
Tampere University
Massachusetts Institute of Technology
University of Manchester
Manchester University NHS Foundation Trust
Lancaster University
University of Split
Swiss Institute of Bioinformatics
University of Tartu
Fimlab Laboratories
Wake Forest University
Amsterdam UMC
University of Liverpool
Data Tecnica International
University of Turku
University of Glasgow
Columbia University
German Center for Cardiovascular Disease Research (DZHK)
Psychiatric Hospital Sveti Ivan
General Central Hospital
Fujian Medical University
New York Academy of Medicine
University of Glasgow
St. George's University of London
Dasman Diabetes Institute
King Abdulaziz University
Isfahan University of Medical Sciences
Sidra Medical and Research Center
University of Basel
University of Sassari
University of Eastern Finland
Labormedizinisches Zentrum Dr. Risch
Private University in the Principality of Liechtenstein
University of Bern
Kaiser Permanente
Health Data Research UK

Research output: Contribution to journal › Article › peer-review

1042 Citations (Scopus)

Abstract

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

Original language	English
Pages (from-to)	1412-1425
Number of pages	14
Journal	Nature Genetics
Volume	50
Issue number	10
DOIs	https://doi.org/10.1038/s41588-018-0205-x
Publication status	Published - 1 Oct 2018
Externally published	Yes

Access to Document

10.1038/s41588-018-0205-x

Cite this

@article{da32df902d62425cbbcd0d8a6698af2f,

title = "Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits",

abstract = "High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.",

author = "\{the Million Veteran Program\} and Evangelos Evangelou and Warren, \{Helen R.\} and David Mosen-Ansorena and Borbala Mifsud and Raha Pazoki and He Gao and Georgios Ntritsos and Niki Dimou and Cabrera, \{Claudia P.\} and Ibrahim Karaman and Ng, \{Fu Liang\} and Marina Evangelou and Katarzyna Witkowska and Evan Tzanis and Hellwege, \{Jacklyn N.\} and Ayush Giri and \{Velez Edwards\}, \{Digna R.\} and Sun, \{Yan V.\} and Kelly Cho and Gaziano, \{J. Michael\} and Wilson, \{Peter W.F.\} and Tsao, \{Philip S.\} and Kovesdy, \{Csaba P.\} and Tonu Esko and Reedik M{\"a}gi and Lili Milani and Peter Almgren and Thibaud Boutin and St{\'e}phanie Debette and Jun Ding and Franco Giulianini and Holliday, \{Elizabeth G.\} and Jackson, \{Anne U.\} and Ruifang Li-Gao and Lin, \{Wei Yu\} and Jian{\textquoteright}an Luan and Massimo Mangino and Christopher Oldmeadow and Prins, \{Bram Peter\} and Yong Qian and Muralidharan Sargurupremraj and Nabi Shah and Praveen Surendran and S{\'e}bastien Th{\'e}riault and Niek Verweij and Willems, \{Sara M.\} and Zhao, \{Jing Hua\} and Philippe Amouyel and John Connell and Hottenga, \{Jouke Jan\}",

note = "Publisher Copyright: {\textcopyright} 2018, The Author(s), under exclusive licence to Springer Nature America, Inc.",

year = "2018",

month = oct,

day = "1",

doi = "10.1038/s41588-018-0205-x",

language = "English",

volume = "50",

pages = "1412--1425",

journal = "Nature Genetics",

issn = "1061-4036",

publisher = "Nature Research",

number = "10",

}

TY - JOUR

T1 - Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

AU - the Million Veteran Program

AU - Evangelou, Evangelos

AU - Warren, Helen R.

AU - Mosen-Ansorena, David

AU - Mifsud, Borbala

AU - Pazoki, Raha

AU - Gao, He

AU - Ntritsos, Georgios

AU - Dimou, Niki

AU - Cabrera, Claudia P.

AU - Karaman, Ibrahim

AU - Ng, Fu Liang

AU - Evangelou, Marina

AU - Witkowska, Katarzyna

AU - Tzanis, Evan

AU - Hellwege, Jacklyn N.

AU - Giri, Ayush

AU - Velez Edwards, Digna R.

AU - Sun, Yan V.

AU - Cho, Kelly

AU - Gaziano, J. Michael

AU - Wilson, Peter W.F.

AU - Tsao, Philip S.

AU - Kovesdy, Csaba P.

AU - Esko, Tonu

AU - Mägi, Reedik

AU - Milani, Lili

AU - Almgren, Peter

AU - Boutin, Thibaud

AU - Debette, Stéphanie

AU - Ding, Jun

AU - Giulianini, Franco

AU - Holliday, Elizabeth G.

AU - Jackson, Anne U.

AU - Li-Gao, Ruifang

AU - Lin, Wei Yu

AU - Luan, Jian’an

AU - Mangino, Massimo

AU - Oldmeadow, Christopher

AU - Prins, Bram Peter

AU - Qian, Yong

AU - Sargurupremraj, Muralidharan

AU - Shah, Nabi

AU - Surendran, Praveen

AU - Thériault, Sébastien

AU - Verweij, Niek

AU - Willems, Sara M.

AU - Zhao, Jing Hua

AU - Amouyel, Philippe

AU - Connell, John

AU - Hottenga, Jouke Jan

PY - 2018/10/1

Y1 - 2018/10/1

N2 - High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

AB - High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

UR - https://www.scopus.com/pages/publications/85053701561

U2 - 10.1038/s41588-018-0205-x

DO - 10.1038/s41588-018-0205-x

M3 - Article

C2 - 30224653

AN - SCOPUS:85053701561

SN - 1061-4036

VL - 50

SP - 1412

EP - 1425

JO - Nature Genetics

JF - Nature Genetics

IS - 10

ER -

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Abstract

Access to Document

Other files and links

Fingerprint

Cite this